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An interview with Charles Habermehl, Software Engineer (Previous Intern)

Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern I was assigned to work on the Halo Link team. Before working on the Halo Link team I had no experience in Web Development which is the main skill I picked up in my time here so far. To be specific, before I started I did not know JavaScript and am now quite proficient at it along with learning an enterprise level framework and many other technologies that are needed to be a proficient developer.

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An interview with Anas Gauba, Software Engineer (Previous Intern)

Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern, I worked on the project to build quota-system where the customer can buy some quota whether it be quota for doing analysis, disk storage, etc. I also worked on building a loginAttempt feature where we can track important information such as customers’ ip address and which service they logged in from. The projects helped me in getting better at being able to design domain models, how middle-wares can work and how to hook up to GraphQL.

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An interview with Dylan Balata, Software Engineer (Previous Intern)

Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern I worked on developing ASP.NET Core based infrastructure solutions utilizing https/web socket technology while incorporating native and db interactions.
Q2. What do you enjoy most about working at Indica Labs?

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Press Release: Nottingham University Hospitals NHS Trust selects Indica Labs to deliver their Digital Pathology Solution with HALO AP

Albuquerque, NM, USA and Nottingham, UK, 1 July, 2021 – Following a formal tender process, Nottingham University Hospitals (NUH) NHS Trust today announced the selection of Indica Labs to aid in full digitisation of the pathology workflow. Indica Labs will deliver its leading digital pathology software, HALO AP®, fully integrated with existing hospital systems, alongside multiple Hamamatsu Nanozoomer scanners.

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Indica Labs and Ibex use artificial intelligence in digital pathology workflows to improve quality and efficiency of cancer diagnosis

Press Release: Indica Labs and Ibex Partner to Deliver AI-powered Clinical Workflows for Digital Pathology

ALBUQUERQUE, NM and TEL AVIV, Israel – May 20, 2021 – Indica Labs, an industry leader in quantitative digital pathology & image management solutions, and Ibex Medical Analytics, a pioneer in artificial intelligence (AI) based cancer diagnostics, announced an agreement to integrate the Ibex™ AI-based cancer diagnostics platform into the HALO AP® digital pathology workflow platform.

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Automated detection and classification of prognostic histopathological features in colorectal cancer using deep learning

9 June 2021 | Deep learning can be applied to both clinical and research based digital pathology. Doing so can bring multiple advantages to both fields. In this talk, Dr. Peter Caie and Dr. Ines Nearchou we will discuss these advantages and describe a specific proof of principle that applies AI to the quantification of an important histopathological feature in colorectal cancer, desmoplastic reaction (DR).

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Approaches to Analyzing Skin Tissue using HALO and HALO AI

6 May 2021 | Application Scientist, Natasha Carmell, will discuss and demonstrate workflow approaches for analysing skin sections stained with H&E and immunofluorescence. Using HALO AI we will identify and segment the corneal layer, epidermis, dermis, cartilage, sebaceous glands and lesions in H&E murine auricular tissues, followed by the segmentation of carcinoma from melanoma in fluorescent multiplexed Melanoma tissue. This AI based tissue segmentation will then be combined with biomarker quantification to identify CD8, CD68 and PDL1 positive populations using Highplex FL.

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Comparison of stain co-localization in IHC sequential cuts and true co-expression in mIF images from Polaris

8 April 2021 | The webinar will cover a workflow for performing stain co-localization analysis in sequential IHC cuts through color deconvolution, slide registration, and cell-type classification, including export using registered coordinates. The resulting co-localization output will be compared and contrasted to true co-expression on a single slide using mIF techniques (Polaris).

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